Reimagining Chinese diasporas in a transnational world: toward a new research agenda
Bibliographic record
Abstract
This introduction article examines the changing nature of the Chinese diasporas in a transnational world and its concomitant implications for Chinese diasporas studies internationally. With a shifting paradigm of transnationalism and transnational migration, new patterns of Chinese diasporas can be characterised by unprecedented hypermobility, hyperdiversity, and hyperconnectivity. Such characterisations depict the global dispersal of overseas Chinese as one of the most hyperdiverse groups with substantial sub-group differences that distinguish it from most other diasporas. As an important hallmark of contemporary Chinese diasporas, the hyperconnectivity manifests itself in the transnational social networks, talent mobility and brain circulation between China and the globalised world. Unlike earlier movements and mobilities, the latest ones are more dynamic and fluid suggesting that the Chinese sojourn is seen as multiple and circular rather than unidirectional or final. This special issue illustrates how the analytical constructs of hypermobility, hyperdiversity, and hyperconnectivity aid in the reimagining of contemporary Chinese transnational diasporas. It also offers research findings and theorisation to further stimulate new scholarship on the Chinese diasporas in a transnational world.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.010 | 0.023 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".